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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 12679
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to maintenance activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    acters
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    onne
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    POSITIVE LOGITS
    tenance
    1.10
     upkeep
    1.01
     maintenance
    1.00
     tasks
    0.84
     chores
    0.82
    taker
    0.82
     Maintenance
    0.79
     backlog
    0.78
     manuals
    0.77
     schedules
    0.77
    Activations Density 0.030%

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